Danny Ruijters (Philips)

AI in the Philips interventional clinic: data challenges and their solutions

The amount of medical procedures that do not need open surgery but can be treated in a minimal invasive way (eg through a vascular catheter) is ever increasing. This is of great advantage for the patients since the associated trauma is much less and recovery times are significantly lower. However, for the physician the new and often complex procedures can be challenging. AI has the potential to aid in managing the large amount of (lifesaving) data that is being generated on the spot and has to be digested in real time, and bring the same level of expertise to any operating crew around the world. Access to data for training the AI networks and generating the right annotations can be a challenge for any application, but becomes even more complex when dealing with medical patient data. In this talk I will discuss these challenges and possible solution strategies, as well as the new platforms that Philips has introduced to co-create AI solutions with its customers.

Danny Ruijters is a principal scientist within the Image Guided Therapy Innovation department in Philips Healthcare in Best, the Netherlands. He and his team of about 25 scientists are responsible for scouting and developing new opportunities in minimally invasive therapy and defining a strategic approach to incorporating novel technologies, such as artificial intelligence, augmented reality, robotics, and cloud computing into the cathlab of the future, while creating a programme that serves both technical disruption as well as clinical innovation.